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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Adaptive reconstruction of digital twins for machining systems: A transfer learning approach
Shimin Liu, Yuqian Lu, Pai Zheng, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102390-102390
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Digital Twins: State of the art theory and practice, challenges, and open research questions
Angira Sharma, Edward Elson Kosasih, Jie Zhang, et al.
Journal of Industrial Information Integration (2022) Vol. 30, pp. 100383-100383
Open Access | Times Cited: 253
A review of digital twin-driven machining: From digitization to intellectualization
Shimin Liu, Jinsong Bao, Pai Zheng
Journal of Manufacturing Systems (2023) Vol. 67, pp. 361-378
Closed Access | Times Cited: 75
Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module
Chengjin Qin, Yanrui Jin, Zhinan Zhang, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 963-986
Open Access | Times Cited: 58
A novel LSTM-autoencoder and enhanced transformer-based detection method for shield machine cutterhead clogging
Chengjin Qin, Ruihong Wu, Guoqiang Huang, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 2, pp. 512-527
Closed Access | Times Cited: 57
A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units
Shimin Liu, Yuqian Lu, Xingwang Shen, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 145-159
Closed Access | Times Cited: 55
Task incremental learning-driven Digital-Twin predictive modeling for customized metal forming product manufacturing process
Jie Li, Zili Wang, Shuyou Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102647-102647
Closed Access | Times Cited: 53
A blockchain-based interactive approach between digital twin-based manufacturing systems
Shimin Liu, Yuqian Lu, Jie Li, et al.
Computers & Industrial Engineering (2022) Vol. 175, pp. 108827-108827
Closed Access | Times Cited: 61
Digital twin-driven virtual commissioning of machine tool
Jinjiang Wang, Xiaotong Niu, Robert X. Gao, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102499-102499
Closed Access | Times Cited: 37
Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph
Xingwang Shen, Xinyu Li, Bin Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101880-101880
Closed Access | Times Cited: 33
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin
Weibin Qu, Jie Li, Rong Zhang, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 5, pp. 2021-2043
Closed Access | Times Cited: 23
Digital Twin-based manufacturing system: a survey based on a novel reference model
Shimin Liu, Pai Zheng, Jinsong Bao
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2517-2546
Closed Access | Times Cited: 22
Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application
Shuguo Hu, Changhe Li, Benkai Li, et al.
Intelligent and sustainable manufacturing (2024) Vol. 1, Iss. 1, pp. 10007-10007
Open Access | Times Cited: 10
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions
Xiaojuan Ma, Jiewu Leng, Zhuyun Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 112-128
Closed Access | Times Cited: 9
Human knowledge centered maintenance decision support in digital twin environment
Syed Meesam Raza Naqvi, Mohammad Ghufran, Safa Meraghni, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 528-537
Open Access | Times Cited: 33
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles
Xiaojuan Ma, Jiewu Leng, Pai Zheng, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 7
Digital Twin Modeling Enabled Machine Tool Intelligence: A Review
Lei Zhang, Jianhua Liu, Cunbo Zhuang
Chinese Journal of Mechanical Engineering (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 6
Towards real-time adaptive prediction of rotary kiln processes: An enhanced framework combining parallel temporal convolution and long short-term memory networks
Xiaoming Wang, Xiaojun Liang, Chaobo Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 109993-109993
Closed Access
Industrial applications of digital twins: A systematic investigation based on bibliometric analysis
Jiangzhuo Ren, Rafiq Ahmad, Dabing Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103264-103264
Closed Access
DTUMOS, digital twin for large-scale urban mobility operating system
Hyeokju Yeon, Taebum Eom, Kitae Jang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Prognostics and health management via long short-term digital twins
Yicheng Sun, Yuqian Lu, Jinsong Bao, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 560-575
Closed Access | Times Cited: 15
Resilient digital twin modeling: A transferable approach
Jiqun Song, Shimin Liu, Tenglong Ma, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102148-102148
Closed Access | Times Cited: 15
MJAR: A novel joint generalization-based diagnosis method for industrial robots with compound faults
Yiming He, Chao Zhao, Xing Zhou, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102668-102668
Closed Access | Times Cited: 15
A Vision-Based Human Digital Twin Modeling Approach for Adaptive Human–Robot Collaboration
Junming Fan, Pai Zheng, C.K.M. Lee
Journal of Manufacturing Science and Engineering (2023) Vol. 145, Iss. 12
Open Access | Times Cited: 14
Adaptive fault diagnosis of machining processes enabled by hybrid deep learning and incremental transfer learning
Yuchen Liang, Yuqi Wang, Weidong Li, et al.
Computers in Industry (2025) Vol. 167, pp. 104262-104262
Closed Access
A dynamic updating method of digital twin knowledge model based on fused memorizing-forgetting model
Shimin Liu, Pai Zheng, Liqiao Xia, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102115-102115
Closed Access | Times Cited: 12
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